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Qi Zhang
Qi Zhang
Noah's Ark Lab, Huawei, Beijing, China
Verified email at huawei.com
Title
Cited by
Cited by
Year
UNBERT: User-News Matching BERT for News Recommendation
Q Zhang, J Li, Q Jia, C Wang, J Zhu, Z Wang, X He
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
912021
Open benchmarking for click-through rate prediction
J Zhu, J Liu, S Yang, Q Zhang, X He
Proceedings of the 30th ACM international conference on information …, 2021
862021
AMM: Attentive Multi-field Matching for News Recommendation
Q Zhang, Q Jia, C Wang, J Li, Z Wang, X He
SIGIR '21, 1588–1592, 2021
312021
Why do we click: visual impression-aware news recommendation
J Xun, S Zhang, Z Zhao, J Zhu, Q Zhang, J Li, X He, X He, TS Chua, F Wu
Proceedings of the 29th ACM international conference on multimedia, 3881-3890, 2021
292021
Causalint: Causal inspired intervention for multi-scenario recommendation
Y Wang, H Guo, B Chen, W Liu, Z Liu, Q Zhang, Z He, H Zheng, W Yao, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
222022
RMBERT: News recommendation via recurrent reasoning memory network over BERT
Q Jia, J Li, Q Zhang, X He, J Zhu
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
222021
Fuxictr: An open benchmark for click-through rate prediction
J Zhu, J Liu, S Yang, Q Zhang, X He
arXiv preprint arXiv:2009.05794, 2020
222020
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
H Zhang, Q Zhang, F Ju, J Zhu, Y Gao, Z Xie, M Deng, S Sun, WM Zheng, ...
BMC bioinformatics 20, 1-11, 2019
152019
Pear: Personalized re-ranking with contextualized transformer for recommendation
Y Li, J Zhu, W Liu, L Su, G Cai, Q Zhang, R Tang, X Xiao, X He
Companion Proceedings of the Web Conference 2022, 62-66, 2022
32022
Fashion Recommendation with a real Recommender System Flow
Q Zhang, G Cai, W Guo, Y Han, Z Dong, R Tang, L Li
Proceedings of the Recommender Systems Challenge 2022, 4-9, 2022
22022
Making the Full Model Adaptive: Multi-Level Domain Adaptation for Multi-Domain CTR Prediction
Q Zhang, C Wu, J Zhu, J Li, Q Jia, R Tang, R Zhang, L Li
2024
Large Scale CVR Prediction through Hierarchical History Modeling
Q Zhang, Z Zhang, B Lu, B He, L Li, Z Dong
Proceedings of the Recommender Systems Challenge 2023, 18-22, 2023
2023
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